Comprehensive grant-free random access for massive & low latency communication

Ameha T. Abebe, Chung Gu Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

In this paper, we introduce a comprehensive grant-free random access scheme for machine-type communication which is characterized by massive connectivity and low latency. The scheme presented in here is comprehensive in a sense that, synchronization, channel estimation, and users identification & data detection (multi-user detection) are performed all in a single shot. The scheme employs compressive sensing by exploiting two sparse phenomena: sparsity in users activity and sparsity in multi-path channel. Furthermore, the scheme is designed in such a way that channel estimation and multi-user detection have a bi-directional mutual relationship, enabling one to reinforce the other for accurate detection and estimation. Moreover, the iterative order recursive least square (IORLS) estimation algorithm is modified & employed in such a way that it exploits the joint structure in multi-path channel and multi-user signal sparsity.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467389990
DOIs
Publication statusPublished - 2017 Jul 28
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: 2017 May 212017 May 25

Other

Other2017 IEEE International Conference on Communications, ICC 2017
CountryFrance
CityParis
Period17/5/2117/5/25

Keywords

  • compressive sensing
  • machine-type communication
  • multi-user detection
  • sparse channel detection
  • synchronization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Abebe, A. T., & Kang, C. G. (2017). Comprehensive grant-free random access for massive & low latency communication. In 2017 IEEE International Conference on Communications, ICC 2017 [7996932] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7996932